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🤖 sentiment-analyzer - Analyze Sentiment Easily and Effectively

📖 Overview

The sentiment-analyzer is an AI-powered application designed to help users understand and analyze sentiments in text data. With multilingual support, an interactive dashboard, and the ability to export results as CSV files, this tool makes sentiment analysis accessible to everyone. It is built using Flask, React, and the RoBERTa natural language processing model.

🚀 Getting Started

Follow these simple steps to download and run the sentiment-analyzer application on your computer.

🖥️ System Requirements

• Operating System: Windows 10, macOS, or a modern Linux distribution.
• RAM: At least 4GB.
• Storage: A minimum of 100MB free space.
• Internet: A stable internet connection for downloading and running the application.

💾 Download & Install

1. Visit the Releases Page: Click the link below to visit the download page where you can find the latest version of the application.

   Visit this page to download

2. Select the Latest Version: On the releases page, locate the latest version of the sentiment-analyzer.

3. Download the Installer: Click on the installer file suitable for your operating system. The file may be named something like sentiment-analyzer-v1.0.exe for Windows or sentiment-analyzer-v1.0.dmg for macOS.

4. Run the Installer:
   • On Windows, double-click the .exe file to start the installation.
   • On macOS, open the .dmg file, drag the application to your Applications folder, and then open it.

5. Complete the Installation: Follow the prompts to complete the installation process. The installation should take only a few minutes.

6. Launch the Application: After installation, you can find sentiment-analyzer in your applications list. Launch the app to start using it.

🔍 How to Use the Application

1. Input Your Text: In the dashboard, you will see a text input area. Type or paste the text you want to analyze.

2. Choose Your Language: If applicable, select the language for your text analysis from the dropdown menu.

3. Analyze Sentiment: Click the “Analyze” button. The application will process your text and display the sentiment results.

4. View Results: The results will show whether the sentiment is positive, negative, or neutral, along with a confidence score.

5. Export Data: You can export your results as a CSV file by clicking the “Export” button on the dashboard.

🌐 Multilingual Support

The sentiment-analyzer supports multiple languages, making it a versatile tool for global users. You can analyze texts in various languages, enhancing accessibility for non-English speakers.

📊 Interactive Dashboard

The interactive dashboard provides a user-friendly interface for engaging with your data. Visualize sentiments, view past analyses, and access useful features all in one place.

📑 Documentation

For a more detailed guide on how to use each feature, you can refer to the comprehensive documentation available on our GitHub page.

📞 Support

If you encounter any issues or have questions, please reach out through the Issues tab on the GitHub repository. Our team is here to help.

🔗 Additional Resources

• Releases Page
• Issues and Support

📜 License

The sentiment-analyzer is open-source software licensed under the MIT License. You are free to use, modify, and distribute it as long as you provide proper attribution.

Thank you for using the sentiment-analyzer! We hope this tool helps you better understand the sentiments expressed in your text data. Happy analyzing!